Digital Twin Technologies: Industrial Applications and Emerging Research Frontiers
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Industrial Electronics".
Deadline for manuscript submissions: 15 May 2026 | Viewed by 49
Special Issue Editor
Interests: expert systems; digital twins; neural network; data mining; healthcare management; machine learning; large language model; decision support systems; business process management
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue aims to explore and examine the diverse industrial applications of Digital Twin technologies. Recent years have witnessed the rapid growth in Digital Twin research, reflecting its expanding role in bridging physical and virtual systems to improve efficiency, reliability, and innovation across industries.
As a transformative approach, Digital Twin technology enables real-time simulation, analysis, and lifecycle-wide optimization of industrial systems, leading to significant improvements in operational efficiency and more robust decision-making processes.
Particular attention will be given to emerging research frontiers such as AI-driven modeling and predictive analytics, IoT and edge–cloud integration for real-time data processing, sustainability and energy transition, cybersecurity, and trustworthiness of cyber-physical systems, as well as human-in-the-loop decision support that integrates technological intelligence with human expertise.
Topics of interest for this Special Issue include, but are not limited to, applications of Digital Twin technologies in the following areas:
- Automotive industry;
- Railway industry;
- Urban logistics industry;
- Maritime industry;
- Aviation industry;
- Utilities industry, including the energy–water nexus;
- Service industry, including education and healthcare;
- Metaverse and AI applications in Digital Twins.
We invite researchers, practitioners, and industry experts to contribute original research articles, reviews, and case studies that advance both the theoretical understanding and practical deployment of Digital Twin technologies. Contributions that bridge disciplinary boundaries and highlight the transformative potential of Digital Twins in shaping future industries are particularly welcome.
Prof. Dr. Sangchan Park
Guest Editor
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Electronics is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- digital twin
- industrial applications
- real-time simulation
- data acquisition
- sensors and actuation
- modeling and evaluation
- cyber-physical systems
- AI-driven simulation and predictive analytics
- prognostics and health management
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